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Ph.D., Telecommunications, 2008 (Institut National de la Recherche Scientifique, Canada)
M. A. Sc., Electrical Engineering, 2005 (Carleton University, Canada)
08/2015 - Current: City College of New York - Assistant Professor (Biomedical Engineering)
06/2013 - 07/2015: Stanford University - Research Associate (Psychology)
09/2008 - 05/2013: City College of New York - Research Scholar (Biomedical Engineering)
Research in my lab is broadly aimed at reverse-engineering the human brain, and specifically understanding the manner in which spatiotemporal patterns of neural activity give rise to cognition and behavior. In this pursuit, we employ non-invasive neuroimaging (for example, EEG) and brain stimulation techniques (for example, transcranial direct current stimulation) to record and modulate neural activity, respectively. Special emphasis is placed upon array signal processing to recover information from signals embedded in noise and to focally stimulate desired brain regions. Knowledge gained through this research may ultimately be used to alleviate neurological disorders (i.e, epilepsy, stroke) and advance the state-of-the-art in neurotechnology.
Dmochowski, J. P., Datta, A., Bikson, M., Su, Y., & Parra, L. C. (2011). Optimized multi-electrode stimulation increases focality and intensity at target. Journal of neural engineering, 8(4), 046011.
Dmochowski, J. P., Bezdek, M. A., Abelson, B. P., Johnson, J. S., Schumacher, E. H., & Parra, L. C. (2014). Audience preferences are predicted by temporal reliability of neural processing. Nature communications, 5.
Dmochowski, J. P., Sajda, P., Dias, J., & Parra, L. C. (2012). Correlated components of ongoing EEG point to emotionally laden attention–a possible marker of engagement?. Frontiers in human neuroscience, 6, 112.
Matlab code to perform "Reliable Components Analysis" can be found here.
Some of my past work has been featured in the media:
BME 20500 Electric Circuits (4 credits, undergraduate)
BME I9400 Special Topics in Machine Learning (3 credits, graduate)
Decoding brain state in natural settings (Lucas Parra, CCNY)
Combined EEG and transcranial electrical stimulation (Marom Bikson, CCNY)
Electrophysiological effects of transcranial electrical stimulation (Anthony Norcia, Stanford University; Laurent Koessler, Lorraine University)
Measuring engagement during natural music listening with EEG (Jonathan Berger, Stanford University)
Jason Ki, Ph.D. candidate (2015-)
Prakhyat Singh, Ph. D. candidate (2016-)
Steinman Hall 460
(212) 650 8626
Dmochowski Lab [..]